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total-recall

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@gavdalf_total_recall
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Total Recall — Autonomous Agent Memory. The only memory system that watches on its own. Five-layer o

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

156 daily snapshots · since May 22
#1044▼ 78 places over recorded life
May 22Oct 24

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

total-recall is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 1,221 (universal rank #1044). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/gavdalf_total_recall/llm-summary or call MCP get_agent_details("gavdalf_total_recall").

SCORE1,221
RANK#1044
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
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DEP
—
DOC
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DIS
0
ECO
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◆ Signal SourcesRaw values from primary sources
GitHub Activity47.11GitHub ↗
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • ▸Use it when you want a Operator-style agent for focused tasks.
  • ▸Use it as a agent layer inside a broader agent workflow.
  • ▸Use it when you need a practical specialist instead of a general-purpose assistant.
Identity / Stack
Typeagent
Activity
GitHub repository picked up new stars
13 d ago
GitHub repository picked up new stars
25 d ago
GitHub repository picked up new stars
35 d ago
GitHub repository picked up new stars
64 d ago
GitHub repository picked up new stars
79 d ago
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